Online Parameter Estimation for Permanent Magnet Synchronous Machines: An Overview
IEEE Access, 2021 Online parameter estimation of permanent magnet synchronous machines is critical for improving their control performance and operational reliability. This paper provides an overview of the recent achievements of online parameter estimation of PMSMs with ...
Z. Q. Zhu, Dawei Liang, Kan Liu
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Multimessenger Parameter Estimation of GW170817
European Physical Journal A, 2019 We combine gravitational wave (GW) and electromagnetic (EM) data to perform a Bayesian parameter estimation of the binary neutron star (NS) merger GW170817. The EM likelihood is constructed from a fit to a large number of numerical relativity simulations
Dai, Liang, Radice, David
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Two-Dimensional Off-Grid DOA and Polarization Parameter Estimation for Parallel Coprime Polarization Sensitive Array [PDF]
Hangkong bingqi, 2023 For the two-dimensional (2-D) spatial angle and polarization parameter estimation problem of spatial electromagnetic signals, a 2-D off-grid DOA and polarization parameter estimation algorithm based on dual parallel coprime polarization sensitive array ...
Zeng Fuhong, Peng Zhanli, Si Weijian, Wang Tingjia, Sun Mingguo
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Bayesian parameter estimation for dynamical models in systems biology [PDF]
bioRxiv, 2022 Dynamical systems modeling, particularly via systems of ordinary differential equations, has been used to effectively capture the temporal behavior of different biochemical components in signal transduction networks.
Nathaniel J. Linden +2 more
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A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data [PDF]
Bioinform., 2011 MOTIVATION Most existing methods for DNA sequence analysis rely on accurate sequences or genotypes. However, in applications of the next-generation sequencing (NGS), accurate genotypes may not be easily obtained (e.g. multi-sample low-coverage sequencing
Heng Li
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Parameter estimation of quantized DARMA systems using weighted least squares
IET Control Theory & Applications, 2023 This paper is concerned with parameter estimate of deterministic autoregressive moving average (DARMA) systems with uniform quantized output observations.
Lida Jing
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Accuracy of some robust estimators based upon prefiltering of the input/output data [PDF]
Modeling, Identification and Control, 1992 By prefiltering the input/output data and employing certain decentralized estimation techniques, it is possible to improve the robustness of some estimators significantly.
Rolf Henriksen
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Multi-parameter estimation beyond quantum Fisher information [PDF]
Journal of Physics A: Mathematical and Theoretical, 2020 This review aims at gathering the most relevant quantum multi-parameter estimation methods that go beyond the direct use of the quantum Fisher information concept.
R. Demkowicz-Dobrzański +2 more
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A NICER View of PSR J0030+0451: Millisecond Pulsar Parameter Estimation [PDF]
Astrophysical Journal, 2019 We report on Bayesian parameter estimation of the mass and equatorial radius of the millisecond pulsar PSR J0030+0451, conditional on pulse-profile modeling of Neutron Star Interior Composition Explorer X-ray spectral-timing event data.
T. E. Riley +15 more
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Parameter estimation and uncertainty analysis in hydrological modeling
WIREs Water, 2021 Nowadays, mathematical models of hydrological systems are used routinely to guide decision making in diverse subjects, such as: environmental and risk assessments, design of remediation strategies for contaminated sites, and evaluation of the impact of ...
P. Herrera, M. A. Marazuela, T. Hofmann
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